Coalitional game based cost optimization of energy portfolio in smart grid communities

摘要

In this paper we propose two novel coalitional game theory based optimizationmethods for minimizing the cost of electricity consumed by households from asmart community. Some households in the community may own renewable energysystems (RESs) conjoined with energy storing systems (ESSs). Some otherresidences own ESSs only, while the remaining households are simple energyconsumers. We first propose a coalitional cost optimization method in whichRESs and ESSs owners exchange energy and share their renewable energy andstorage spaces. We show that by participating in the proposed game thesehouseholds may considerably reduce their costs in comparison to performingindividual cost optimization. We further propose another coalitionaloptimization model in which RESs and ESSs owning households not only sharetheir resources, but also sell energy to simple energy consuming households. Weshow that through this energy trade the RESs and ESSs owners can further reducetheir costs, while the simple energy consumers also gain cost savings. Themonetary revenues gained by the coalition are distributed among its membersaccording to the Shapley value. Simulation examples show that the proposedcoalitional optimization methods may reduce the electricity costs for the RESsand ESSs owning households by 20%, while the sole energy consumers may reducetheir costs by 5%.